Anne G. E. Collins - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 9 from 9

2023

A generalized method for dynamic noise inference in modeling sequential decision-makingJing-jing Li, Chengchun Shi, Lexin Li, Anne G. E. Collins. cogsci 2023: [doi]

Human hacks and bugs in the recruitment of reward systems for goal achievementGaia Molinaro, Anne G. E. Collins. cogsci 2023: [doi]

Choice Type Impacts Human Reinforcement LearningMilena Rmus, Amy Zou, Anne G. E. Collins. jocn, 35(2):314-330, 2023. [doi]

2022

Credit assignment in hierarchical option transferJing-jing Li, Liyu Xia, Flora Dong, Anne G. E. Collins. cogsci 2022: [doi]

How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational PerspectiveAspen H. Yoo, Anne G. E. Collins. jocn, 34(4):551-568, 2022. [doi]

Three systems interact in one-shot reinforcement learningAmy Zou, Anne G. E. Collins. cogsci 2022: [doi]

2021

How the Mind Creates Structure: Hierarchical Learning of Action SequencesMaria K. Eckstein, Anne G. E. Collins. cogsci 2021: [doi]

2018

Prefrontal Cortex in Control: Broadening the Scope to Identify MechanismsWilliam H. Alexander, Joshua W. Brown, Anne G. E. Collins, Benjamin Y. Hayden, Eliana Vassena. jocn, 30(8), 2018. [doi]

The Tortoise and the Hare: Interactions between Reinforcement Learning and Working MemoryAnne G. E. Collins. jocn, 30(10), 2018. [doi]

Sign in or sign up to see more results.

runs on WebDSL